Triple
T5209964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Typhoon Lagoon |
E117606
|
entity |
| Predicate | wavePoolType |
P57712
|
FINISHED |
| Object | outdoor wave pool |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: outdoor wave pool | Statement: [Disney’s Typhoon Lagoon, wavePoolType, outdoor wave pool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wavePoolType Context triple: [Disney’s Typhoon Lagoon, wavePoolType, outdoor wave pool]
-
A.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
B.
waterSport
Indicates participation in or association with a sport or recreational activity that takes place on or in water.
-
C.
waterParkType
chosen
Indicates the specific type or category of a water park associated with an entity.
-
D.
swimmingType
Indicates the manner or style in which an entity performs the action of swimming.
-
E.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.